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conjurer  

A Parametric Method for Generating Synthetic Data
View on CRAN: Click here


Download and install conjurer package within the R console
Install from CRAN:
install.packages("conjurer")

Install from Github:
library("remotes")
install_github("cran/conjurer")

Install by package version:
library("remotes")
install_version("conjurer", "1.7.1")



Attach the package and use:
library("conjurer")
Maintained by
Sidharth Macherla
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-07
Latest Update: 2023-01-18
Description:
Generates synthetic data distributions to enable testing various modelling techniques in ways that real data does not allow. Noise can be added in a controlled manner such that the data seems real. This methodology is generic and therefore benefits both the academic and industrial research.
How to cite:
Sidharth Macherla (2020). conjurer: A Parametric Method for Generating Synthetic Data. R package version 1.7.1, https://cran.r-project.org/web/packages/conjurer. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:28), 1.0.0 (2020-01-07 20:50), 1.1.0 (2020-03-13 22:40), 1.1.1 (2020-03-22 04:00), 1.2.0 (2020-09-08 06:30), 1.3.0 (2021-10-17 09:30), 1.4.0 (2021-11-01 06:20), 1.5.0 (2022-05-01 07:40), 1.6.0 (2023-01-11 08:30), 1.7.0 (2023-01-18 01:00)
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Complete documentation for conjurer
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